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A collection of recent papers on building autonomous agent. Two topics included: RL-based / LLM-based agents.
整理开源的中文大语言模型,以规模较小、可私有化部署、训练成本较低的模型为主,包括底座模型,垂直领域微调及应用,数据集与教程等。
[ECCV 2024] Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Official Code for Stable Cascade
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
An Open-source Toolkit for LLM Development
MiniCPM4 & MiniCPM4.1: Ultra-Efficient LLMs on End Devices, achieving 3+ generation speedup on reasoning tasks
C++高性能分布式服务器框架,webserver,websocket server,自定义tcp_server(包含日志模块,配置模块,线程模块,协程模块,协程调度模块,io协程调度模块,hook模块,socket模块,bytearray序列化,http模块,TcpServer模块,Websocket模块,Https模块等, Smtp邮件模块, MySQL, SQLite3, ORM,Red…
🌱 This is a tutorial of MySQL. In this tutorial, you can leran how to use MySQL and optimize SQL.
The Python micro framework for building web applications.
Games: Create interesting games in pure python.
基于ChatGLM-6B、ChatGLM2-6B、ChatGLM3-6B模型,进行下游具体任务微调,涉及Freeze、Lora、P-tuning、全参微调等
Official repo for VGen: a holistic video generation ecosystem for video generation building on diffusion models
S-LoRA: Serving Thousands of Concurrent LoRA Adapters
基于大模型搭建的聊天机器人,同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入,可选择ChatGPT/Claude/DeepSeek/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Kimi/LinkAI,能处理文本、语音和图片,访问操作系统和互联网,支持基于自有知识库进行定制企业智能客服。
Accelerate LLM with low-bit (FP4 / INT4 / FP8 / INT8) optimizations using ipex-llm
Universal LLM Deployment Engine with ML Compilation
中文nlp解决方案(大模型、数据、模型、训练、推理)
Example implementation of a discrete 1st order Hidden Markov model with test
Code and documentation to train Stanford's Alpaca models, and generate the data.
This is a possible solution to MCM/ICM problem D
Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.
Operating Systems: Three Easy Pieces(OSTEP) homework and project solutions